developer_uid: chai_backend_admin
submission_id: chaiml-1113-quang-ir-mi_56819_v1
model_name: training123
model_group: ChaiML/1113-quang-ir-mix
status: torndown
timestamp: 2025-11-17T08:31:31+00:00
num_battles: 5344
num_wins: 2840
celo_rating: 1306.28
family_friendly_score: 0.47540000000000004
family_friendly_standard_error: 0.007062504371680063
submission_type: basic
model_repo: ChaiML/1113-quang-ir-mixall-cld-i0a8-freev2-rm-cldimprv-dpo_freev22_0164642ep_1e5cs
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3795735051891772, 'latency_mean': 2.6344381082057953, 'latency_p50': 2.6471296548843384, 'latency_p90': 2.8823029041290282}, {'batch_size': 2, 'throughput': 0.5669044978547606, 'latency_mean': 3.518178862333298, 'latency_p50': 3.529258370399475, 'latency_p90': 3.828646993637085}, {'batch_size': 3, 'throughput': 0.7007125987065367, 'latency_mean': 4.268086086511612, 'latency_p50': 4.226982951164246, 'latency_p90': 4.63411316871643}, {'batch_size': 4, 'throughput': 0.7945827245545769, 'latency_mean': 5.013206385374069, 'latency_p50': 4.983795762062073, 'latency_p90': 5.767255282402038}, {'batch_size': 5, 'throughput': 0.8518147757577808, 'latency_mean': 5.841698026657104, 'latency_p50': 5.860885143280029, 'latency_p90': 6.68731734752655}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1113-quang-ir-mixall-cld-i0a8-freev2-rm-cldimprv-dpo_freev22_0164642ep_1e5cs
model_size: 24B
ranking_group: single
throughput_3p7s: 0.61
us_pacific_date: 2025-11-14
win_ratio: 0.531437125748503
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', '\n', '####', 'You:'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s persona: {memory}", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {message}\n', 'response_template': '####\n{bot_name}:', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-1113-quang-ir-mi-56819-v1-mkmlizer
Waiting for job on chaiml-1113-quang-ir-mi-56819-v1-mkmlizer to finish
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ belonging to: ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ║ ║
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: Downloaded to shared memory in 67.367s
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: Checking if ChaiML/1113-quang-ir-mixall-cld-i0a8-freev2-rm-cldimprv-dpo_freev22_0164642ep_1e5cs already exists in ChaiML
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptecp1wze, device:0
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: quantized model in 43.013s
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: Processed model ChaiML/1113-quang-ir-mixall-cld-i0a8-freev2-rm-cldimprv-dpo_freev22_0164642ep_1e5cs in 110.381s
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1113-quang-ir-mi-56819-v1/nvidia
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1113-quang-ir-mi-56819-v1/nvidia/config.json
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1113-quang-ir-mi-56819-v1/nvidia/tokenizer_config.json
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1113-quang-ir-mi-56819-v1/nvidia/special_tokens_map.json
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1113-quang-ir-mi-56819-v1/nvidia/tokenizer.json
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1113-quang-ir-mi-56819-v1/nvidia/flywheel_model.1.safetensors
chaiml-1113-quang-ir-mi-56819-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1113-quang-ir-mi-56819-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1113-quang-ir-mi-56819-v1-mkmlizer completed after 154.88s with status: succeeded
Stopping job with name chaiml-1113-quang-ir-mi-56819-v1-mkmlizer
Pipeline stage MKMLizer completed in 155.67s
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Creating inference service chaiml-1113-quang-ir-mi-56819-v1
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Inference service chaiml-1113-quang-ir-mi-56819-v1 ready after 150.90840530395508s
Pipeline stage MKMLDeployer completed in 151.53s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6021082401275635s
Received healthy response to inference request in 2.13515043258667s
Received healthy response to inference request in 2.4220094680786133s
Received healthy response to inference request in 2.333679676055908s
Received healthy response to inference request in 2.0846922397613525s
5 requests
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5th percentile: 2.094783878326416
10th percentile: 2.1048755168914797
20th percentile: 2.1250587940216064
30th percentile: 2.1748562812805177
40th percentile: 2.2542679786682127
50th percentile: 2.333679676055908
60th percentile: 2.3690115928649904
70th percentile: 2.404343509674072
80th percentile: 2.4580292224884035
90th percentile: 2.5300687313079835
95th percentile: 2.5660884857177733
99th percentile: 2.5949042892456053
mean time: 2.3155280113220216
Pipeline stage StressChecker completed in 13.38s
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